Chonsaeng Kim

1.0k citations
30 papers · 729 · h-index 18

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 9
    • Viral gastroenteritis research and epidemiology 7
    • COVID-19 Clinical Research Studies 4
    • Cytomegalovirus and herpesvirus research 5
    • Influenza Virus Research Studies 3

Chonsaeng Kim

30 papers receiving 723 citations

Peers

Chonsaeng Kim
Comparison fields: 5 of 88
  • Infectious Diseases 284
  • Cardiology and Cardiovascular Medicine 151
  • Animal Science and Zoology 54
  • Immunology 111
  • Epidemiology 175
Replace Weiheng Su with:
Weiheng Su China
Christin Müller Germany
Lucía Barrado-Gil Spain
Mohsan Saeed United States
Adeyemi O. Adedeji United States
Deyan Chen China
Simone La Frazia Italy
Changfa Fan China
Natacha S. Ogando Netherlands
Thomas Julien France
Chonsaeng Kim relative to Weiheng Su China Weiheng Su's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chonsaeng Kim

Since Specialization
Citations

This map shows the geographic impact of Chonsaeng Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chonsaeng Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chonsaeng Kim more than expected).

Fields of papers citing papers by Chonsaeng Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chonsaeng Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chonsaeng Kim. The network helps show where Chonsaeng Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Chonsaeng Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chonsaeng Kim Line = papers co-authored together Chonsaeng Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201774
2 201759
3 201557
4 201552
5 201340
6 201737
7 201833
8 201733
9 201232
10 201630
11 201726
12 201925
13 201823
14 202120
15 202219
16 202419
17 202019
18 201618
19 201317
20 201915

About Chonsaeng Kim

Chonsaeng Kim is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 30 papers that have together received 729 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Virus-based gene therapy research (4 papers), CRISPR and Genetic Engineering (4 papers), COVID-19 Clinical Research Studies (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (284 citations), Cardiology and Cardiovascular Medicine (151 citations), Animal Science and Zoology (54 citations), Immunology (111 citations) and Epidemiology (175 citations). Chonsaeng Kim has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Jeffrey M. Bergelson, Seong‐Jun Kim, Sungchan Cho, Hye Jin Shin, Meehyein Kim, Kyungjin Lee, Jin Soo Shin, Keun Bon Ku, Dong‐Eun Kim and Chong-Kyo Lee. Their work appears in journals such as Viruses, Antiviral Research, Oncotarget, Journal of Virology and Virology Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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